The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-30"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "82707976 (up from 81951541 yesterday: 0.92 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1805002 (up from 1789915 yesterday: 0.84 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 13727004

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.18



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 19740468 229042 1.17 4269335 342312 3744 1.11 1.73
India 10266674 21822 0.21 499303 148738 299 0.20 1.45
Brazil 7619200 55649 0.74 890748 193875 1194 0.62 2.54
Russia 3100018 26095 0.85 581467 55692 585 1.06 1.80
France 2657624 26514 1.01 277906 64508 304 0.47 2.43
United Kingdom 2440202 50239 2.10 668657 72657 982 1.37 2.98
Turkey 2194272 15692 0.72 1268930 20642 254 1.25 0.94
Italy 2083689 16202 0.78 313540 73604 575 0.79 3.53
Spain 1910218 16716 0.88 198117 50689 247 0.49 2.65
Germany 1741153 49044 2.90 486795 33230 963 2.98 1.91
Colombia 1626461 11639 0.72 234328 42909 289 0.68 2.64
Argentina 1613928 11765 0.73 138706 43163 145 0.34 2.67
Mexico 1413935 12406 0.89 208706 124897 1052 0.85 8.83
Poland 1281414 12780 1.01 193068 28019 565 2.06 2.19
Iran 1218753 6272 0.52 146133 55095 149 0.27 4.52
Ukraine 1076880 8404 0.79 208889 19058 257 1.37 1.77
South Africa 1039161 17710 1.73 210563 28033 465 1.69 2.70
Peru 1010496 1588 0.16 33875 37574 49 0.13 3.72
Netherlands 798592 9533 1.21 211949 11417 112 0.99 1.43
Indonesia 735124 8002 1.10 142224 21944 241 1.11 2.99
Czechia 701622 16420 2.40 144695 11429 127 1.12 1.63
Belgium 644242 2831 0.44 46599 19441 80 0.41 3.02
Romania 627941 4875 0.78 95901 15596 127 0.82 2.48
Chile 606950 2964 0.49 42172 16499 11 0.07 2.72
Iraq 594442 901 0.15 24569 12808 8 0.06 2.15
Canada 577266 8459 1.49 138124 15498 111 0.72 2.68
Bangladesh 512496 1235 0.24 28392 7531 22 0.29 1.47
Pakistan 479715 2475 0.52 50435 10105 58 0.58 2.11
Philippines 472532 1006 0.21 28368 9230 68 0.74 1.95
Switzerland 447905 5424 1.23 84251 7594 101 1.35 1.70
Sweden 437379 8846 2.06 132586 8727 243 2.86 2.00
Morocco 437332 2143 0.49 49148 7355 41 0.56 1.68
Israel 416584 4186 1.02 66313 3307 15 0.46 0.79
Portugal 406051 6049 1.51 73978 6830 79 1.17 1.68
Saudi Arabia 362601 113 0.03 3327 6214 10 0.16 1.71
Austria 357902 2550 0.72 46900 6149 90 1.49 1.72
Serbia 334991 3236 0.98 93160 3163 44 1.41 0.94
Hungary 319543 1972 0.62 59955 9429 137 1.47 2.95
Jordan 293067 1674 0.57 42848 3815 14 0.37 1.30
Nepal 260059 511 0.20 15626 1847 7 0.38 0.71
Panama 242744 4465 1.87 59767 3975 42 1.07 1.64
Japan 231271 3856 1.70 61842 3243 47 1.47 1.40
Georgia 225893 1738 0.78 51510 2481 38 1.56 1.10
Azerbaijan 217636 1052 0.49 59081 2609 34 1.32 1.20
Ecuador 211512 1186 0.56 12284 14023 22 0.16 6.63
Croatia 208446 1850 0.90 49074 3860 65 1.71 1.85
United Arab Emirates 206092 1723 0.84 25942 665 3 0.45 0.32
Bulgaria 201220 1729 0.87 29727 7515 110 1.49 3.73
Kazakhstan 200443 888 0.44 17786 2761 1 0.04 1.38
Belarus 192361 1957 1.03 39908 1414 10 0.71 0.74
Lebanon 177996 2878 1.64 37587 1456 26 1.82 0.82
Slovakia 173228 3041 1.79 51432 2065 82 4.14 1.19
Dominican Republic 169579 1314 0.78 19418 2409 4 0.17 1.42
Costa Rica 168114 1315 0.79 19426 2171 15 0.70 1.29
Denmark 161862 2788 1.75 63967 1256 30 2.45 0.78
Armenia 158878 582 0.37 14812 2807 10 0.36 1.77
Bolivia 158372 1485 0.95 12312 9149 14 0.15 5.78
Kuwait 150298 205 0.14 5094 933 1 0.11 0.62
Moldova 143841 990 0.69 22871 2960 26 0.89 2.06
Qatar 143621 193 0.13 3268 245 0 0.00 0.17
Lithuania 138219 3934 2.93 57663 1422 75 5.57 1.03
Greece 137918 942 0.69 18198 4788 58 1.23 3.47
Tunisia 137216 2414 1.79 30360 4620 50 1.09 3.37
Guatemala 137166 879 0.64 10039 4803 22 0.46 3.50
West Bank and Gaza 136736 1277 0.94 33744 1371 20 1.48 1.00
Egypt 136644 1411 1.04 16942 7576 56 0.74 5.54
Oman 128719 86 0.07 3229 1497 0 0.00 1.16
Ethiopia 123856 468 0.38 9022 1918 5 0.26 1.55
Burma 123740 587 0.48 20574 2664 27 1.02 2.15
Honduras 120912 0 0.00 8120 3111 0 0.00 2.57
Slovenia 119740 2435 2.08 29665 2665 34 1.29 2.23
Venezuela 113121 260 0.23 7269 1025 4 0.39 0.91
Bosnia and Herzegovina 110985 531 0.48 13668 4050 26 0.65 3.65
Malaysia 110485 1870 1.72 34220 463 6 1.31 0.42
Paraguay 106958 822 0.77 16812 2242 22 0.99 2.10

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2261035 32703 1.47 812048 25334 417 1.67 1.12 57223.68 641.17 1 in 17
Texas 1750250 20166 1.17 322809 27600 318 1.17 1.58 60362.02 951.86 1 in 17
Florida 1306123 13871 1.07 222761 21546 137 0.64 1.65 60812.88 1003.18 1 in 16
New York 963390 12917 1.36 222410 37840 153 0.41 3.93 49522.55 1945.15 1 in 20
Illinois 955380 7374 0.78 142950 17811 215 1.22 1.86 75394.06 1405.56 1 in 13
Ohio 690748 8178 1.20 170636 8855 133 1.52 1.28 59093.34 757.54 1 in 17
Georgia 654743 9053 1.40 136964 10846 67 0.62 1.66 61666.85 1021.53 1 in 16
Pennsylvania 636061 8535 1.36 185137 15665 322 2.10 2.46 49684.55 1223.64 1 in 20
Tennessee 580809 8220 1.44 157847 6810 100 1.49 1.17 84998.42 996.61 1 in 12
North Carolina 532830 8551 1.63 122303 6729 155 2.36 1.26 50803.37 641.59 1 in 20
Michigan 528621 4782 0.91 80203 13018 52 0.40 2.46 52931.67 1303.51 1 in 19
Wisconsin 516226 3170 0.62 64046 5192 40 0.78 1.01 88661.55 891.72 1 in 11
Arizona 512489 5267 1.04 129888 8718 78 0.90 1.70 67300.88 1144.86 1 in 15
Indiana 505017 4735 0.95 106600 8160 109 1.35 1.62 75014.94 1212.08 1 in 13
New Jersey 472264 4642 0.99 90778 18952 175 0.93 4.01 53169.77 2133.71 1 in 19
Minnesota 413107 1997 0.49 49388 5321 66 1.26 1.29 73250.70 943.50 1 in 14
Missouri 399501 3031 0.76 61165 5664 86 1.54 1.42 65092.58 922.86 1 in 15
Massachusetts 367918 6839 1.89 98506 12338 120 0.98 3.35 52941.63 1775.38 1 in 19
Alabama 356820 5016 1.43 76633 4774 37 0.78 1.34 72773.11 973.65 1 in 14
Virginia 344345 4048 1.19 77217 4984 64 1.30 1.45 40342.60 583.91 1 in 25
Colorado 330859 2451 0.75 58513 4750 63 1.34 1.44 57453.41 824.83 1 in 17
Louisiana 311229 6744 2.21 52315 7448 51 0.69 2.39 66948.33 1602.14 1 in 15
South Carolina 303475 2873 0.96 64031 5249 51 0.98 1.73 58941.90 1019.48 1 in 17
Oklahoma 287030 3249 1.14 64037 2453 48 2.00 0.85 72537.81 619.92 1 in 14
Iowa 280064 1754 0.63 29784 3822 10 0.26 1.36 88766.33 1211.38 1 in 11
Maryland 273689 2628 0.97 51036 5848 45 0.78 2.14 45270.18 967.30 1 in 22
Utah 271940 2614 0.97 49395 1256 21 1.70 0.46 84823.32 391.77 1 in 12
Kentucky 265261 3770 1.44 56126 2623 29 1.12 0.99 59373.41 587.11 1 in 17
Washington 242330 1484 0.62 43302 3420 51 1.51 1.41 31823.17 449.12 1 in 31
Kansas 225434 5999 2.73 42853 2736 167 6.50 1.21 77380.61 939.14 1 in 13
Nevada 222595 2471 1.12 46261 3063 47 1.56 1.38 72267.44 994.43 1 in 14
Arkansas 222430 3184 1.45 45778 3637 34 0.94 1.64 73705.40 1205.17 1 in 14
Mississippi 213055 3023 1.44 42383 4747 28 0.59 2.23 71587.48 1595.01 1 in 14
Connecticut 183663 1696 0.93 43115 5964 40 0.68 3.25 51514.23 1672.80 1 in 19
Nebraska 165297 1516 0.93 21373 1611 8 0.50 0.97 85450.95 832.81 1 in 12
New Mexico 141186 1311 0.94 28236 2436 33 1.37 1.73 67333.10 1161.75 1 in 15
Idaho 139864 1340 0.97 23661 1403 10 0.72 1.00 78046.28 782.90 1 in 13
Oregon 112260 1033 0.93 23973 1468 19 1.31 1.31 26616.17 348.05 1 in 38
South Dakota 98720 562 0.57 10697 1464 18 1.24 1.48 111591.02 1654.87 1 in 9
North Dakota 91899 71 0.08 5750 1276 0 0.00 1.39 120592.55 1674.40 1 in 8
Rhode Island 87949 1160 1.34 19650 1777 17 0.97 2.02 83020.80 1677.43 1 in 12
West Virginia 84225 1452 1.75 25763 1318 34 2.65 1.56 47128.19 737.49 1 in 21
Montana 81300 874 1.09 11167 950 11 1.17 1.17 76068.18 888.87 1 in 13
Puerto Rico 75888 98 0.13 16926 1484 24 1.64 1.96 23761.83 464.67 1 in 42
Delaware 56596 407 0.72 14203 921 23 2.56 1.63 58120.86 945.81 1 in 17
Alaska 46483 391 0.85 7776 203 2 1.00 0.44 63540.86 277.49 1 in 16
Wyoming 44133 210 0.48 6248 405 0 0.00 0.92 76254.54 699.77 1 in 13
New Hampshire 43242 545 1.28 15650 741 6 0.82 1.71 31802.35 544.97 1 in 31
District of Columbia 28758 223 0.78 4904 780 5 0.65 2.71 40748.20 1105.21 1 in 25
Maine 23499 590 2.58 9045 334 1 0.30 1.42 17481.62 248.47 1 in 57
Hawaii 21570 104 0.48 2514 285 0 0.00 1.32 15234.43 201.29 1 in 66
Vermont 7276 74 1.03 1991 134 4 3.08 1.84 11660.46 214.75 1 in 86

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 32623076 2261035 6.93 6581005 812048 12.34 825645.2
2 Texas 13661613 1750250 12.81 2040432 322809 15.82 471157.0
3 Florida 15584370 1306123 8.38 2220939 222761 10.03 725605.8
4 New York 25068473 963390 3.84 3964433 222410 5.61 1288631.6
5 Illinois 13178017 955380 7.25 1810672 142950 7.89 1039946.6
6 Ohio 7694900 690748 8.98 1051192 170636 16.23 658297.1
7 Georgia 5304793 654743 12.34 726669 136964 18.85 499630.9
8 Pennsylvania 3885630 636061 16.37 467719 185137 39.58 303517.7
9 Tennessee 5618268 580809 10.34 808030 157847 19.53 822204.7
10 North Carolina 6880495 532830 7.74 1121601 122303 10.90 656029.7
11 Michigan 8113075 528621 6.52 946166 80203 8.48 812375.2
12 Wisconsin 5308808 516226 9.72 600399 64046 10.67 911785.0
13 Arizona 2812466 512489 18.22 393086 129888 33.04 369337.6
14 Indiana 5627342 505017 8.97 920376 106600 11.58 835882.2
15 New Jersey 7698128 472264 6.13 1209603 90778 7.50 866692.6
16 Minnesota 5309130 413107 7.78 755325 49388 6.54 941396.5
17 Missouri 3618339 399501 11.04 373941 61165 16.36 589553.0
18 Massachusetts 10848872 367918 3.39 1667806 98506 5.91 1561100.4
19 Alabama 1862248 356820 19.16 189084 76633 40.53 379803.7
20 Virginia 4220943 344345 8.16 647644 77217 11.92 494515.1
21 Colorado 4368131 330859 7.57 776334 58513 7.54 758522.5
22 Louisiana 4184768 311229 7.44 504860 52315 10.36 900183.6
23 South Carolina 3150834 303475 9.63 554053 64031 11.56 611965.2
24 Oklahoma 2649374 287030 10.83 370463 64037 17.29 669546.0
25 Iowa 1168170 280064 23.97 60683 29784 49.08 370251.7
26 Maryland 5672680 273689 4.82 865835 51036 5.89 938303.1
27 Utah 2227885 271940 12.21 267994 49395 18.43 694920.2
28 Kentucky 3148606 265261 8.42 356285 56126 15.75 704753.0
29 Washington 3798321 242330 6.38 601271 43302 7.20 498801.6
30 Kansas 1001232 225434 22.52 125180 42853 34.23 343674.6
31 Nevada 2068519 222595 10.76 295118 46261 15.68 671563.1
32 Arkansas 2039060 222430 10.91 255562 45778 17.91 675672.1
33 Mississippi 1340713 213055 15.89 143741 42383 29.49 450485.8
34 Connecticut 4297581 183663 4.27 693726 43115 6.21 1205395.5
35 Nebraska 1726330 165297 9.58 234891 21373 9.10 892433.2
36 New Mexico 1954680 141186 7.22 283420 28236 9.96 932207.6
37 Idaho 540470 139864 25.88 48205 23661 49.08 301590.6
38 Oregon 2632475 112260 4.26 438653 23973 5.47 624143.9
39 South Dakota 371459 98720 26.58 26987 10697 39.64 419889.5
40 North Dakota 1270216 91899 7.23 129521 5750 4.44 1666814.5
41 Rhode Island 1974498 87949 4.45 293169 19650 6.70 1863857.6
42 West Virginia 1495094 84225 5.63 235263 25763 10.95 836581.4
43 Montana 786808 81300 10.33 87340 11167 12.79 736175.3
45 Delaware 972556 56596 5.82 170376 14203 8.34 998759.4
46 Alaska 1267092 46483 3.67 167537 7776 4.64 1732076.6
47 Wyoming 498063 44133 8.86 66630 6248 9.38 860570.6
48 New Hampshire 1025226 43242 4.22 144282 15650 10.85 754002.9
49 District of Columbia 892764 28758 3.22 140257 4904 3.50 1264988.0
50 Maine 1102498 23499 2.13 151285 9045 5.98 820181.6
51 Hawaii 807135 21570 2.67 92467 2514 2.72 570062.1
52 Vermont 689597 7276 1.06 95946 1991 2.08 1105142.9

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4826709 475044 1673 0.35 9.84 3617 481 52996 25038 5.27
Veneto 3276810 249075 2986 1.21 7.60 2711 358 90023 6410 2.57
Piemonte 1673896 196461 1046 0.54 11.74 2957 192 28959 7893 4.02
Campania 2016361 188119 930 0.50 9.33 1357 102 77611 2812 1.49
Emilia-Romagna 2556405 169396 1427 0.85 6.63 2641 230 56057 7683 4.54
Lazio 2690302 161284 1333 0.83 6.00 2808 303 74463 3696 2.29
Toscana 1872240 119696 460 0.39 6.39 869 160 9737 3655 3.05
Sicilia 1211824 92345 1084 1.19 7.62 1085 166 33387 2381 2.58
Puglia 1033478 89303 1470 1.67 8.64 1497 128 52740 2451 2.74
Liguria 706883 59997 415 0.70 8.49 712 63 5628 2880 4.80
Friuli Venezia Giulia 924819 49150 803 1.66 5.31 641 59 11647 1627 3.31
Marche 526915 40921 585 1.45 7.77 468 62 10572 1557 3.80
Abruzzo 512111 34858 278 0.80 6.81 432 36 11036 1206 3.46
Sardegna 478936 30745 328 1.08 6.42 496 44 16325 743 2.42
P.A. Bolzano 359695 29234 220 0.76 8.13 168 22 10602 731 2.50
Umbria 500003 28660 347 1.23 5.73 256 44 3706 618 2.16
Calabria 437520 23518 449 1.95 5.38 257 17 8731 468 1.99
P.A. Trento 447759 21520 197 0.92 4.81 380 45 1713 933 4.34
Basilicata 182937 10679 113 1.07 5.84 89 4 5995 255 2.39
Valle d’Aosta 62480 7244 14 0.19 11.59 72 2 406 379 5.23
Molise 114520 6440 44 0.69 5.62 53 10 2061 188 2.92

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 199822 2511 1.27 8165 41 0.50 4.09 23404.74 956.35 1 in 43
Ontario 183104 3906 2.18 4499 36 0.81 2.46 12446.04 305.81 1 in 80
Alberta 100428 1287 1.30 1046 18 1.75 1.04 22756.56 237.02 1 in 44
British Columbia 51300 485 0.95 893 11 1.25 1.74 10037.34 174.72 1 in 100
Manitoba 24513 128 0.52 661 2 0.30 2.70 17795.06 479.85 1 in 56
Saskatchewan 15160 138 0.92 154 3 1.99 1.02 12829.34 130.32 1 in 78
Nova Scotia 1483 3 0.20 65 0 0.00 4.38 1517.20 66.50 1 in 659
New Brunswick 596 1 0.17 8 0 0.00 1.34 764.11 10.26 1 in 1309
Newfoundland and Labrador 390 0 0.00 4 0 0.00 1.03 748.04 7.67 1 in 1337
Nunavut 266 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 60331.50 1046.19 1 in 17
India 7667.42 111.08 1 in 130
Brazil 36403.25 926.30 1 in 27
Russia 21453.41 385.41 1 in 47
France 39671.95 962.95 1 in 25
United Kingdom 36727.90 1093.57 1 in 27
Turkey 27153.47 255.44 1 in 37
Italy 34452.53 1217.00 1 in 29
Spain 40939.09 1086.35 1 in 24
Germany 21030.96 401.38 1 in 48
Colombia 33145.73 874.44 1 in 30
Argentina 36456.47 974.99 1 in 27
Mexico 10943.77 966.70 1 in 91
Poland 33739.18 737.73 1 in 30
Iran 15016.67 678.84 1 in 67
Ukraine NA NA 1 in NA
South Africa 18320.89 494.23 1 in 55
Peru 31411.13 1167.98 1 in 32
Netherlands 46483.82 664.55 1 in 22
Indonesia 2784.56 83.12 1 in 359

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 756116 10056 1.33
Cook Illinois 390927 8246 2.11
Maricopa Arizona 314464 5051 1.61
Miami-Dade Florida 295936 4169 1.41
Harris Texas 236673 3371 1.42
San Bernardino California 193214 1442 0.75
Dallas Texas 191544 1971 1.03
Riverside California 180537 1951 1.08
Clark Nevada 168342 2336 1.39
Orange California 156573 1874 1.20
San Diego California 152512 1472 0.97
Tarrant Texas 145279 1402 0.97
Broward Florida 136038 1840 1.35
Queens New York 124068 7550 6.09
Kings New York 122489 7721 6.30
Bexar Texas 115685 1709 1.48
Salt Lake Utah 105933 550 0.52
El Paso Texas 98017 1645 1.68
Suffolk New York 94041 2286 2.43
Philadelphia Pennsylvania 92706 2437 2.63
Milwaukee Wisconsin 91053 998 1.10
Nassau New York 86296 2381 2.76
Hennepin Minnesota 85878 1370 1.60
Wayne Michigan 84941 3624 4.27
Bronx New York 84589 5128 6.06
Franklin Ohio 83105 698 0.84
Palm Beach Florida 81899 1881 2.30
Hillsborough Florida 76221 1068 1.40
Orange Florida 75317 749 0.99
Middlesex Massachusetts 74298 2718 3.66
Marion Indiana 69796 1127 1.61
Cuyahoga Ohio 69251 895 1.29
St. Louis Missouri 68821 1384 2.01
Westchester New York 68702 1661 2.42
Pima Arizona 68437 1039 1.52
Santa Clara California 67581 673 1.00
Kern California 67292 504 0.75
Utah Utah 66116 213 0.32
Shelby Tennessee 66007 889 1.35
Fresno California 65149 646 0.99
Sacramento California 65078 833 1.28
Mecklenburg North Carolina 61990 553 0.89
King Washington 61710 1037 1.68
DuPage Illinois 61271 1024 1.67
Oakland Michigan 61195 1636 2.67
Davidson Tennessee 60757 564 0.93
Duval Florida 60324 725 1.20
New York New York 60281 3331 5.53
Providence Rhode Island 58946 1348 2.29
Oklahoma Oklahoma 57401 435 0.76
Essex Massachusetts 57353 1683 2.93
Gwinnett Georgia 56485 597 1.06
Fulton Georgia 55939 786 1.41
Fairfield Connecticut 55645 1713 3.08
Prince George’s Maryland 54127 1079 1.99
Suffolk Massachusetts 53695 1369 2.55
Allegheny Pennsylvania 52998 977 1.84
Douglas Nebraska 52686 501 0.95
Will Illinois 51794 773 1.49
Jefferson Alabama 51676 694 1.34
Hamilton Ohio 51124 413 0.81
Hidalgo Texas 50965 2192 4.30
Alameda California 50946 625 1.23
Jefferson Kentucky 50804 530 1.04
Travis Texas 50194 548 1.09
Macomb Michigan 49473 1601 3.24
Lake Illinois 47939 812 1.69
Collin Texas 47757 365 0.76
Tulsa Oklahoma 47575 395 0.83
Denver Colorado 47167 664 1.41
New Haven Connecticut 46892 1525 3.25
Essex New Jersey 46763 2385 5.10
Bergen New Jersey 46563 2312 4.97
Hartford Connecticut 46201 1838 3.98
Montgomery Maryland 45791 1120 2.45
San Joaquin California 44699 628 1.40
Middlesex New Jersey 44328 1663 3.75
Pinellas Florida 44243 1045 2.36
Fairfax Virginia 43434 679 1.56
Cobb Georgia 43391 571 1.32
Kent Michigan 43274 543 1.25
Hudson New Jersey 43244 1695 3.92
Wake North Carolina 42951 345 0.80
Worcester Massachusetts 41640 1506 3.62
Lubbock Texas 41603 552 1.33
Kane Illinois 41232 601 1.46
Polk Iowa 41179 408 0.99
El Paso Colorado 40752 548 1.34
Erie New York 40585 1183 2.91
Bernalillo New Mexico 40373 557 1.38
Lee Florida 40169 673 1.68
Passaic New Jersey 39651 1451 3.66
Adams Colorado 39554 513 1.30
Lake Indiana 39467 602 1.53
Sedgwick Kansas 39423 376 0.95
Contra Costa California 39391 323 0.82
Johnson Kansas 38865 447 1.15
Ventura California 38669 255 0.66
Denton Texas 38547 344 0.89
Baltimore Maryland 38280 925 2.42

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc